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1. Dynamic real-time update data renderings
2. Right-click to switch themes
source code
Get it as follows
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Method ①, Add WeChat ID: dkl88191, Remarks: from CSDN + large screen
Method ②, WeChat search public number: Python learning and data mining, background reply: large screen
1. Determine the demand plan
- Screen Resolution
The resolution of this case is 16:9, the most commonly used widescreen ratio.
According to the computer resolution screen adaptive display, F11 full screen view;
- Deployment method
B/S mode: support Windows, Linux, Mac and other mainstream operating systems; support mainstream browsers Chrome, Microsoft Edge, 360, etc.; the server is written in python language, and the python environment can be configured.
2. Overall Architecture Design
- Front-end Echarts open source library: use WebStorm editor;
- Back- end http server : based on Python implementation, using Pycharm or VSCode editor;
- Data transmission format: JSON;
- Data source type: JSON file . In actual development requirements, it supports custom HTTP API interface or other types of databases, such as PostgreSQL, MySQL, Oracle, Microsoft SQL Server, SQLite, Excel form, etc.
- Data update method: use http get polling method . In practical applications, you can also choose to monitor the real-time update of the back-end data and push it to the front-end in real time according to the situation;
3. Coding implementation (based on space and readability considerations, some key codes are shown here)
- front-end html code
This page layout uses the grid layout of H5 , and the code is simple and easy to operate.
<div class="grid-container">
<div id="lo_0">
<h2>32 数据可视化-银行监管系统</h2>
</div>
<div id="lo_1">
</div>
<div id="lo_2">
</div>
<div id="lo_3">
</div>
<div id="lo_4">
</div>
<div id="lo_5">
</div>
<div id="lo_6">
</div>
<div id="lo_7">
</div>
<div id="lo_8">
<div style="height: 10%;">
<button
onclick="async_echart_china('container_8', 'map_china_map/map_china_map.json', 'confirmAdd')">新增金额</button>
<button
onclick="async_echart_china('container_8', 'map_china_map/map_china_map.json', 'confirm')">累计金额</button>
<button
onclick="async_echart_china('container_8', 'map_china_map/map_china_map.json', 'nowConfirm')">现有金额</button>
</div>
<div id="container_8" style="height: 90%;"></div>
</div>
<div id="lo_9">9</div>
<div id="lo_10">10</div>
</div>
grid-container definition
.grid-container {
display: grid;
/* 6列，定义列宽 */
grid-template-columns: 14% 14.5% 20% 20% 14.5% 14%;
/* auto: 它用于自动设置行的高度，即取决于行中容器和内容的大小。 */
grid-template-rows: 10% 25% 30% 30%;
grid-gap: 10px;
/* background-color: #2196F3; */
padding: 0;
width: 100%;
height: 100%;
}
For grid definitions that span multiple rows and columns
#lo_5 {
grid-area: 3 / 1 / 4 / 3;
}
- Front-end JS - echarts chart
function init_echart_line_visualMap(container) {
// 基于准备好的dom，初始化echarts实例
var myChart = echarts.init(document.getElementById(container), gTheme);
option = {
title: {
text: "股票市值实时监测",
// top: 0,
// left: "center",
textStyle: {
// color: "#17c0ff",
fontSize: "12",
},
},
tooltip: {
trigger: "item",
formatter: "{a} <br/>{b}: {c} ({d}%)",
position: function (p) {
//其中p为当前鼠标的位置
return [p[0] + 10, p[1] - 10];
},
},
grid: {
left: "3%",
right: "3%",
bottom: "3%",
top: "25%",
containLabel: true,
},
xAxis: {
name: "名称",
type: "category",
data: [],
axisLabel: {
textStyle: {
color: "rgba(255,255,255,.8)",
//fontSize: 14,
},
// formatter: "{value}%",
},
axisLine: {
lineStyle: {
color: "rgba(255,255,255,.2)",
},
},
splitLine: {
lineStyle: {
color: "rgba(255,255,255,.1)",
},
},
},
yAxis: {
name: "亿元",
type: "value",
data: [],
axisLabel: {
textStyle: {
color: "rgba(255,255,255,.8)",
//fontSize: 14,
},
formatter: "{value}",
},
axisLine: {
lineStyle: {
color: "rgba(255,255,255,.2)",
},
},
splitLine: {
lineStyle: {
color: "rgba(255,255,255,.1)",
},
},
},
visualMap: {
top: "top",
left: "right",
textStyle: {
color: "rgba(255,255,255,.8)",
//fontSize: 14,
},
pieces: [
{
gt: 0,
lte: 100,
color: "#FF0000",
},
{
gt: 100,
lte: 800,
color: "#FFA500",
},
{
gt: 800,
lte: 900,
color: "#2E8B57",
},
],
},
series: [
{
name: "年龄分布",
type: "line",
// stack: "total",
// label: {
// show: true,
// },
// 使用系统函数
markPoint: {
label: {
textStyle: {
color: "rgba(255,255,255,.8)",
//fontSize: 14,
},
},
data: [
{ type: "max", name: "Max" },
{ type: "min", name: "Min" },
],
},
markLine: {
data: [{ type: "average", name: "Avg" }],
},
// 自定义数据
// markLine: {
// // 图形是否不响应和触发鼠标事件
// silent: true,
// label: {
// textStyle: {
// color: "rgba(255,255,255,.8)",
// //fontSize: 14,
// },
// },
// data: [
// {
// yAxis: 100,
// lineStyle: {
// color: "#FF0000",
// },
// },
// {
// yAxis: 800,
// lineStyle: {
// color: "#FFA500",
// },
// },
// {
// yAxis: 900,
// lineStyle: {
// color: "#2E8B57",
// },
// },
// ],
// },
},
],
};
// 使用刚指定的配置项和数据显示图表。
myChart.setOption(option);
window.addEventListener("resize", function () {
myChart.resize();
});
}
function getKeys(dataList) {
var keys = [];
var len = dataList.length;
for (var i = 0; i < len; i++) keys.push(dataList[i].name);
return keys;
}
3. Front-end JS - data timing update control
Supports independent control of the interval of timed updates in each echarts chart.
// 定时1s执行数据更新函数
setInterval(function () {
async_echart_bar_horizontal(
container,
path_bar_horizontal + "bar_horizontal.json"
);
}, 1000);
- Data Transfer Format - JSON Definition
[
{
"name": "10:00",
"value": 300
},
{
"name": "10:01",
"value": 301
},
{
"name": "10:02",
"value": 301
},
{
"name": "10:03",
"value": 300
},
{
"name": "10:04",
"value": 300
},
{
"name": "10:05",
"value": 303
},
{
"name": "10:06",
"value": 303
},
{
"name": "10:07",
"value": 303
}
]
5. Backend flask server
from flask import Flask
app = Flask(__name__, static_folder="static", template_folder="template")
# 主程序在这里
if __name__ == "__main__":
# 开启线程，触发动态数据
a = threading.Thread(target=asyncJson.loop)
a.start()
# 开启 flask 服务
app.run(host='0.0.0.0', port=88, debug=True)
4. Start command
<!-- 启动server命令 -->
python main.py
<!-- 浏览器中输入网址查看大屏（端口为 main.py 中的 port 参数定义） -->
http://localhost:88/static/index.html
<!-- 更多资料参考我的博客主页 -->
https://yydatav.blog.csdn.net/
<!-- 更多案例参考 -->
https://blog.csdn.net/lildkdkdkjf/article/details/120705616
5. Operation effect
